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16.9 MB
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B6F97C1B5C1514A0B59B3305E2AABF70479A4FB5
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April 20, 2026, 10:31 p.m.
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(Last updated: April 20, 2026, 10:35 p.m.)
| File | Size |
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| Wallingford E. Transactions on Pattern Languages of Programming V 2025.pdf | 16.9 MB |
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SOURCE: Wallingford E. Transactions on Pattern Languages of Programming V 2025
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Textbook in PDF format The Transactions on Pattern Languages of Programming subline aims to publish papers on patterns and pattern languages as applied to software design, development, and use, throughout all phases of the software life cycle, from requirements and design to implementation, maintenance and evolution. The primary focus of this LNCS Transactions subline is on patterns, pattern collections, and pattern languages themselves. The journal also includes reviews, survey articles, criticisms of patterns and pattern languages, as well as other research on patterns and pattern languages. Software analytics is a data-driven approach to decision-making, which allows software practitioners to leverage valuable insights from data about software to achieve higher development process productivity and improve many aspects of the software quality. Although widely adopted by large companies, software analytics has not yet reached its full potential for broad industrial adoption. Usually, software practitioners do not use analytics of data generated during the software development process to inform their decisions. Decisions based on practitioners’ feelings and intuition can lead to wasted resources and increase the cost of building and maintaining the software. This paper presents a Pattern Language for supporting software analytics activities implementation in practice. The proposed patterns focus on recurring solutions about how to incorporate software analytics on an interactive and continuous basis to inform the decision-making process of software practitioners. The main contribution of patterns is to encourage and guide the software teams to develop software analytics activities lightly so as not to disrupt the production process.sactions on Pattern Languages of Programming V Preface A Pattern Language for Engineering Software for the Cloud An Extended Pattern Collection for Blockchain-Based Applications Anti-patterns and Code Smells for Multi-language Systems Pattern Language for Lightweight and Interactive Software Analytics Process Bridging the Gap Between Business Process Modellers and Domain Experts by Variability Patterns Pattern Discovery and Validation Using Scientific Research Methods Configuring Patterns and Pattern Languages for Systemic Inquiry and Design
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